Special section article using an integrated social cognition model to predict COVID-19 preventive behaviours

Wiley, J, Lin, C-Y, Imani, V, Majd, NR, Ghasemi, Z, Griffiths, MD ORCID logoORCID: https://orcid.org/0000-0001-8880-6524, Hamilton, K, Hagger, MS and Pakpour, AH, 2020. Special section article using an integrated social cognition model to predict COVID-19 preventive behaviours. British Journal of Health Psychology, 25 (4), pp. 981-1005. ISSN 1359-107X

[thumbnail of 1352298_Griffiths.pdf]
Preview
Text
1352298_Griffiths.pdf - Published version

Download (435kB) | Preview

Abstract

Objectives: Rates of novel coronavirus disease 2019 (COVID‐19) infections have rapidly increased worldwide and reached pandemic proportions. A suite of preventive behaviours have been recommended to minimize risk of COVID‐19 infection in the general population. The present study utilized an integrated social cognition model to explain COVID‐19 preventive behaviours in a sample from the Iranian general population.

Design: The study adopted a three‐wave prospective correlational design.

Methods: Members of the general public (N = 1,718, M age = 33.34, SD = 15.77, male = 796, female = 922) agreed to participate in the study. Participants completed self‐report measures of demographic characteristics, intention, attitude, subjective norm, perceived behavioural control, and action self‐efficacy at an initial data collection occasion. One week later, participants completed self‐report measures of maintenance self‐efficacy, action planning and coping planning, and, a further week later, measures of COVID‐19 preventive behaviours. Hypothesized relationships among social cognition constructs and COVID‐19 preventive behaviours according to the proposed integrated model were estimated using structural equation modelling.

Results: The proposed model fitted the data well according to multiple goodness‐of‐fit criteria. All proposed relationships among model constructs were statistically significant. The social cognition constructs with the largest effects on COVID‐19 preventive behaviours were coping planning (β = .575, p < .001) and action planning (β = .267, p < .001).

Conclusions: Current findings may inform the development of behavioural interventions in health care contexts by identifying intervention targets. In particular, findings suggest targeting change in coping planning and action planning may be most effective in promoting participation in COVID‐19 preventive behaviours.

Item Type: Journal article
Publication Title: British Journal of Health Psychology
Creators: Wiley, J., Lin, C.-Y., Imani, V., Majd, N.R., Ghasemi, Z., Griffiths, M.D., Hamilton, K., Hagger, M.S. and Pakpour, A.H.
Publisher: Wiley
Date: November 2020
Volume: 25
Number: 4
ISSN: 1359-107X
Identifiers:
Number
Type
10.1111/bjhp.12465
DOI
1352298
Other
Divisions: Schools > School of Social Sciences
Record created by: Jonathan Gallacher
Date Added: 12 Aug 2020 08:16
Last Modified: 31 May 2021 15:11
URI: https://irep.ntu.ac.uk/id/eprint/40435

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year